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This video on the Artificial Intelligence full course video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies.

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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's Job Assist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉Learn more at: https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=zkubwWb3m4Q&utm_medium=Description&utm_source=Youtube
🔥 https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=zkubwWb3m4Q&utm_medium=Description&utm_source=Youtube
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Edureka Machine Learning Engineer Course: https://www.edureka.co/masters....-program/machine-lea
This Machine Learning Engineer Full Course is a comprehensive program that provides learners with the skills and expertise required to excel in machine learning. In this course, we will gain proficiency in programming languages like Python and libraries such as TensorFlow and PyTorch. Through a combination of theory and hands-on practice, explore key concepts such as supervised and unsupervised learning, neural networks, and model optimization.
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⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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The Artificial Intelligence Course video by Simplilearn mainly focuses on the Artificial Intelligence Tutorial for Beginners 2023, which covers an introduction to artificial intelligence, the definition of artificial intelligence, the basics of artificial intelligence, the types of artificial intelligence, applications, and examples of artificial intelligence. This AI Tutorial video reveals the full Artificial Intelligence Course for beginners.

✅ 00:00 Artificial Intelligence Tutorial For Beginners 2023

✅ 00:01 - What is Artificial Intelligence?
This phase of the video picturizes the basics of Artificial Intelligence and its role in problem-solving.

✅ 05:28 - Introduction to Artificial Intelligence
This part of the video phase uncovers the definition of Artificial Intelligence and the relationship between Artificial Intelligence and Data Science.

✅ 19:14 - Future of Artificial Intelligence
This part of the video covers statements of great personalities about the future of AI and upcoming projects on Artificial Intelligence.

The term artificial intelligence was first coined by John McCarthy in the 1950s.McCarthy established a lab for artificial intelligence at Stanford University, where he developed the first iterations of a self-driving car.

Artificial intelligence is a technique of turning a computer-based robot to work and act like humans.
Siri, Alexa, recommendations from companies like Flipkart and Amazon, and self-driving cars like Tesla. All this work is based on AI.

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✅ Watch More Videos On Artificial Intelligence By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=ArtificialIntelligenceForBeginners2023-PGRUefsr4CU&utm_medium=Description&utm_source=youtube
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

( Java Training - https://www.edureka.co/java-j2ee-training-course )
This Edureka Java Programming tutorial (Java Blog Series: https://goo.gl/12JH8n) will help you in understanding the various programming fundamentals of Java in detail with examples. Check out our Java Playlist: https://goo.gl/ES3dI3

This video helps you to learn following topics:

5:19 Variables
6:18 Data Types in Java
20:56 Operators in Java
33:35 Conditional Statements in Java
40:54 Loops
53:21 Arrays and Strings
1:00:48 Functions in Java
1:06:00 Classes and Objects in Java

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#Java #Javatutorial #Javaonlinetraining #Javaforbeginners #JavaProgramming

How it Works?

1. This is a 7 Week Instructor led Online Course, 45 hours of assignment and 20 hours of project work

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -

About the Course

Edureka's Advanced Java/J2EE and SOA training and certification course is designed for students and professionals who want to be a Java Developer. This is a 42 hour course which will cover both core and advanced Java concepts like Database connectivity, Threads, Exception Handling, Collections, JSP, Servlets, XML Handling etc. We will also learn various Java frameworks like Hibernate and Spring. During our Java/ Certification training, our instructors will help you:

1. Develop the code with various Java data types, conditions and loops.
2. Implement arrays, functions and string handling techniques.
3. Understand object oriented programming through Java using Classes, Objects and various Java concepts like Abstract, Final etc.
4. Implement multi-threading and exception handling.
5. Use parse XML files using DOM and SAX in Java.
6. Write a code in JDBC to communicate with Database.
7. Develop web applications and JSP pages.
8. Interact with the database using hibernate framework.
9. Write code with spring framework components like Dependency Injection and Auto Wiring.
10. Implement SOA using web services.

- - - - - - - - - - - - - - - - - - -

Who should go for this course?

This course is designed for professionals aspiring to become Java Developers. Programmers, Web Developers, Web Designers, Programming Hobbyists, Database Administrators, Youngsters who want to kick start their career are the key beneficiaries of this course.
- - - - - - - - - - - - - - - -

Why learn Java?

Java is a general-purpose, class-based, object-oriented computer programming language that was designed by James Gosling at Sun Microsystems in 1995.

Key Highlights of Java:
Platform Independent: This allows programmers to develop applications that can run on any operating system.

Usability of Java: Java is most widely used programming language. It is present everywhere. It really doesn't matter which domain you are working in, you will surely come across Java sooner or later!

Open Source: The good news is that Java is available for free! All the development tools and the environment (JRE & JDK) that is used to develop Java applications are absolutely free of cost.

Android: Irrespective of the fact that you are tech savvy or not, most of us are badly bitten by the Android bug! Android is in great demand today and fortunately you need Java for Android development. Hence, the importance of Java has increased even more.

Hadoop: Hadoop is one of the most trending framework for processing Big Data. It has been designed and developed in Java.

In spite of having a tough competition on the server side from Microsoft and other companies, Java is doing extremely well on mobile platforms, thanks to Android! It has also been the primary language for Hadoop Developers.
For Java Training and Certification, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/prompt-....engineering-generati (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
Dive into the world of 'Prompt Engineering Explained' to get the lowdown in layman's terms. Ever wondered how your daily tech gadgets work or how engineers solve complex problems? In this video I will be explaining you what is prompt engineering and how it works. From developers to content creators anybody can use this amazing technology. I have also covered the fundamentals of prompt engineering like Tree of thoughts and elaborated on how it is useful in areas like Business Analytics and so on.

⏩ Edureka Chat GPT Explained Playlist: http://bit.ly/3HGRy3G

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🔵 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - • Top 10 Technologi...

🔵 About Edureka ChatGPT Certification Training Course

Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.

🔵 Why take up the Online ChatGPT Certification Course?

Interested individuals can opt for the Online ChatGPT Certification course as this course provides:

Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.

Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.

Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.

Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.

🔵 Who should take up this ChatGPT Certification Course?

The ChatGPT Certification Course is suitable for a wide range of individuals, including:

AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.

Developers: Developers who want to integrate ChatGPT into their projects and create new AI applications can benefit from the course.

Data scientists: Data scientists who want to understand how ChatGPT can be used to process and analyze large amounts of data can also benefit from the course.

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐀𝐖𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞 "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") - https://www.edureka.co/aws-certification-training.
The "AWS Architect Full Course" is a thorough learning experience designed to help aspiring AWS architects gain essential knowledge. This Full Course covers core AWS services, best practices, security, and advanced topics such as serverless computing, giving you practical insights into designing and managing scalable solutions on the AWS cloud.

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🚀 Dive into the world of Excel like never before with the power of ChatGPT! 📊 Whether you're a seasoned spreadsheet pro or just starting your Excel journey, this video is your gateway to unleashing the full potential of Microsoft Excel. 🔍 In this tutorial, we'll explore innovative ways to streamline your data management using ChatGPT, the cutting-edge language model from OpenAI. From time-saving shortcuts to advanced formula magic, you'll learn how to elevate your Excel game to new heights.

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This Web Development Full Course by Simplilearn helps you master web development basics. The Web Development Full Course provides a complete guide to mastering web development, from foundational concepts to advanced techniques. It begins with an exploration of web development and its future scope, followed by a comprehensive roadmap for 2025, guiding learners through the essential skills and tools needed in the field. The course delves into frameworks like Django, including a detailed tutorial, alongside database management topics such as SQL and MongoDB, making it suitable for backend and full-stack development. Additionally, it emphasizes hands-on learning with the top 10 web development projects to build a strong portfolio. Modern advancements are also covered with insights into the best AI coding tools, preparing learners for the future of web development.

The following are topics covered in the Web development Full Course by Simplilearn.

00:00:00 - Introduction to Web Development Full Course 2025
00:13:04 - What is web development and Web Developmenr future scope
00:07:53 - How To Become A Full Stack Web Developer In 2023
00:19:10 - Front End vs Back End Explained
00:26:47 - How to become frontend developer
00:34:49 - HTML
01:34:48 - What is CSS?
01:40:15 - CSS Color
01:45:19 - CSS Background Image
01:50:02 - CSS Selectors
01:53:32 - CSS BOX model
01:58:13 - CSS Flexbox
02:05:04 - CSS Grid layout
02:20:02 - CSS Forms
02:33:36 - What is JavaScript
02:46:32 - What is Dom
03:03:02 - JavaScript
04:05:15- How To Become A Backend Developer
04:10:05 - Angular
05:13:14 - Angular Routing
05:24:41 - React
06:15:10 - Node js
06:48:05 - What is Django
06:48:34 - Django Tutorial
08:20:57 - SQL
08:44:06 - GSoc Roadmap
09:02:43 - Frontend Developer Interview Questions and Answers
09:12:41 - Learn Coding using Gemini
09:24:45 - Best AI Coding tools 2025

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➡️ About Full Stack Developer Course

Gain skill with full stack developer course to design, build, and scale frontend and backend systems. Gain exposure over 10+ tools/frameworks, 6+ real-world projects via an immersive learning approach led by live virtual classes, access to integrated labs and JobAssist services.

Key Features
✅ 40+ micro skilling exercises & 6+ work-like professional projects
✅ Develop expertise in 10+ full stack development tools and frameworks
✅ Fast-track your learning with the help of AI coding assistant tools
✅ Experience hands-on learning through our course-end projects and capstone projects
✅ Leverage the advanced capabilities of OpenAI's APIs to enhance your projects
✅ Build a robust Git portfolio to showcase your proficiency in building dynamic web applications
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Learning Path
✅ Induction for Full Stack Web Developer - MERN Stack
✅ Build a strong MERN Foundation
✅ Design a Dynamic Frontend with React
✅ Data Structures and Algorithms
✅ Develop a Reliable Backend with Node and Express
✅ Full Stack Development Capstone Project
Electives:
✅ IBM - Reactive Architecture: Reactive Microservices
✅ IBM: Software Engineering Fundamentals
✅ IBM: Fundamentals of Cloud Native, DevOps, NoSQL, and Agile


Skills Covered
✅ Full Stack Development
✅ Web Development
✅ Backend Development
✅ Database Management
✅ Server Side Development
✅ Version Control and Collaboration
✅ Cloud Deployment and DevOps
✅ Testing and Quality Assurance
✅ Agile Development
✅ Project Management
✅ RESTful API Design
✅ Open AI APIs

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In this video on What is Search Engine Marketing, embark on a journey into the realm of Search Engine Marketing (SEM). Explore the fundamental concepts, unraveling the importance of SEM in today's digital landscape. We'll dive into the SEM vs. SEO comparison, understanding the nuances between these crucial strategies. Discover the inner workings of SEM, from the selection of keywords to the dynamics of ad auctions. Learn about essential SEM tools that empower successful campaigns. Gain insights into the intriguing world of ad auctions and explore effective SEM campaign strategies to enhance online visibility.

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This digital marketing course is meant for professionals looking to pursue a Digital Marketing career, know the fundamentals, and gain hands-on experience, as well as experienced marketers keen on learning the latest Digital Marketing skills. The Harvard Business case studies and projects on Google and Facebook add real-world experience.

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Note: 1 year of experience is preferred

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The Gen AI Full Course 2025 By Simplilearn covers various concepts of Generative AI, starting with an Introduction to Artificial Intelligence and the concept of Generative AI. It outlines a roadmap to becoming a Gen AI Engineer, focusing on essential tools like OpenAI ChatGPT models and AI career options. The course dives deep into Deep Learning, Search GPT, LangChain, and OpenAI Sora. It includes tutorials on Generative Adversarial Networks (GANs), Transformers, LSTM, LLMs, and Machine Learning fundamentals. Advanced topics include Reinforcement Learning, Recurrent Neural Networks, ChatGPT analysis, LLM Benchmarking, and Open AI Strawberry. The course provides hands-on insights into GAN applications, Transformer models, and neural networks essential for Gen AI professionals.

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00:00:00 Introduction to Gen AI Full Course
00:08:08 What is Artificial Intelligence
00:08:53 What is Generative AI
00:19:32 Roadmap to become a Gen AI Engineer
00:33:07 Gen ai tools for job interview
00:48:31 Open ai chatgpt o1 model
00:50:21 AI Careers to explore
01:04:02 Deep Learning Tutorial
01:12:19 Search GPT Tutorial
01:14:34 Langchain Tutorial
01:37:28 Openai sora Tutorial
02:22:05 Generative Adversarial Tutorial
02:31:27 What are GANS
02:32:28 Transformers in AI
02:44:57 LSTM Tutorial
02:46:21 Large Language Models Tutorial
03:47:34 What is Machine Learning
04:44:06 Machine Learning Tutorial
06:49:29 Reinforcement Learning Tutorial
10:12:12 Recurrent Neural Network Tutorial
10:32:03 ChatGPT analyze Tutorial
10:40:56 LLM Benchmarking Tutorial
10:46:38 Open AI Strawberry Tutorial

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass

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Hadoop is a famous Big Data framework; this video on Hadoop will acquaint you with the term Big Data and help you understand the importance of Hadoop. Here, you will also learn about the three main components of Hadoop, namely, HDFS, MapReduce, and YARN. In the end, we will have a quiz on Hadoop. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let's get started and learn all about Hadoop.

Don't forget to take the quiz at 05:11!

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This Edureka R Tutorial (R Tutorial Blog: https://goo.gl/mia382) will help you in understanding the fundamentals of R tool and help you build a strong foundation in R. Below are the topics covered in this tutorial:

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How it Works?

1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work

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3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course
edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc. During our Data Analytics with R Certification training, our instructors will help you:

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6. Use various packages in R to create fancy plots

7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights


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Who should go for this course?

This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics.

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Why learn Data Analytics with R?

The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists.

Below is a blog that will help you understand the significance of R and Data Science: Mastering R Is The First Step For A Top-Class Data Science Career

Having Data Science skills is a highly preferred learning path after the Data Analytics with R training. Check out the upgraded Data Science Course

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

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00:01:48:07 What is Artificial Intelligence?
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00:43:39:18 What is LLM (Large Language Model)
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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: https://www.edureka.co/microso....ft-azure-devops-solu
This Edureka live video on Azure DevOps Full Course will give you a detailed study introduction on how you can implement DevOps practices on Microsoft Azure. Topics Covered :
00:00:00 Introduction
00:01:25 Agenda
00:02:51 What is Azure?
00:06:40 What is Cloud Computing
00:14:07 Microsoft Azure
00:14:14 How to launch these services in Azure
00:29:51 Demo
00:47:59 Azure Certification
00:49:40 Types of Azure Certifications
00:58:55 How to create azure Free Account
01:04:26 Azure Portals
01:18:29 Azure Virtual Machine
01:22:36 Azure VM Architecture
01:31:33 Azure VM Hands-on
01:39:54 Introduction to Azure Kubernetes Services
01:46:12 Container Vs VM
01:51:14 What is Kubernetes
02:06:32 Working of AKS
02:10:43 Use Case
02:29:31 ARM Templates
02:52:31 Demo
02:57:48 What is Azure Active Directory
03:02:35 Service Audience
03:05:01 Active Directory Tenants
03:06:29 Demo
03:24:31 Introduction to DevOps
03:47:45 DevOps Tools
04:09:24 DevOps Automation
04:12:17 What is Git?
04:36:47 Git Operations & Commands
05:04:39 Introduction to SSH Keys
05:06:34 GitHub Basics
05:11:23 Getting Started with GitHub
05:18:30 Creating a Repository
05:26:39 Make a Commit
05:31:02 Open & Merge Pull Request
05:36:07 Jenkins - CI/CD
05:53:33 Hands-on
06:37:27 Docker - Containerization
06:49:25 What is DockerImage
06:52:21 What is Dockerfile
06:55:39 Docker Commands
07:01:34 Hands-on
07:13:48 Azure DevOps Basics
07:36:08 Case Study
07:37:38 Azure DevOps Testplan
07:46:58 Hands-on
08:03:07 Azure DevOps Artifacts
08:07:16 Demo
08:26:54 Azure Boards
08:30:25 Demo - Azure Boards Walkthrough
08:39:39 Azure DevOps Pipeline
08:43:32 Demo
08:52:30 Azure DevOps CI/CD Pipeline
09:26:48 AWS DevOps Vs Azure DevOps
09:30:32 Azure DevOps Interview Questions& Answers

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Dr. Paul Lessard and his collaborators have written a paper on "Categorical Deep Learning and Algebraic Theory of Architectures". They aim to make neural networks more interpretable, composable and amenable to formal reasoning. The key is mathematical abstraction, as exemplified by category theory - using monads to develop a more principled, algebraic approach to structuring neural networks.

We also discussed the limitations of current neural network architectures in terms of their ability to generalise and reason in a human-like way. In particular, the inability of neural networks to do unbounded computation equivalent to a Turing machine. Paul expressed optimism that this is not a fundamental limitation, but an artefact of current architectures and training procedures.

The power of abstraction - allowing us to focus on the essential structure while ignoring extraneous details. This can make certain problems more tractable to reason about. Paul sees category theory as providing a powerful "Lego set" for productively thinking about many practical problems.

Towards the end, Paul gave an accessible introduction to some core concepts in category theory like categories, morphisms, functors, monads etc. We explained how these abstract constructs can capture essential patterns that arise across different domains of mathematics.

Paul is optimistic about the potential of category theory and related mathematical abstractions to put AI and neural networks on a more robust conceptual foundation to enable interpretability and reasoning. However, significant theoretical and engineering challenges remain in realising this vision.

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Links:
Categorical Deep Learning: An Algebraic Theory of Architectures
Bruno Gavranović, Paul Lessard, Andrew Dudzik,
Tamara von Glehn, João G. M. Araújo, Petar Veličković
Paper: https://categoricaldeeplearning.com/

Symbolica:
https://twitter.com/symbolica
https://www.symbolica.ai/

Dr. Paul Lessard (Principal Scientist - Symbolica)
https://www.linkedin.com/in/paul-roy-lessard/

Neural Networks and the Chomsky Hierarchy (Grégoire Delétang et al)
https://arxiv.org/abs/2207.02098

Interviewer: Dr. Tim Scarfe

Pod: https://podcasters.spotify.com..../pod/show/machinelea

Transcript:
https://docs.google.com/docume....nt/d/1NiHJKTkeqYdpcg

More info about NNs not being recursive/TMs:
https://www.youtube.com/watch?v=4KIQH1VEwBI

Geometric Deep Learning blueprint:
https://www.youtube.com/watch?v=bIZB1hIJ4u8

TOC:
00:00:00 - Intro
00:05:07 - What is the category paper all about
00:07:19 - Composition
00:10:42 - Abstract Algebra
00:23:01 - DSLs for machine learning
00:24:10 - Inscrutability
00:29:04 - Limitations with current NNs
00:30:41 - Generative code / NNs don't recurse
00:34:34 - NNs are not Turing machines (special edition)
00:53:09 - Abstraction
00:55:11 - Category theory objects
00:58:06 - Cat theory vs number theory
00:59:43 - Data and Code are one and the same
01:08:05 - Syntax and semantics
01:14:32 - Category DL elevator pitch
01:17:05 - Abstraction again
01:20:25 - Lego set for the universe
01:23:04 - Reasoning
01:28:05 - Category theory 101
01:37:42 - Monads
01:45:59 - Where to learn more cat theory